Job Overview
We are seeking a highly skilled Machine Learning Engineer to join our team. This role will involve applying advanced machine learning models to predict and model creditworthiness, transaction labeling, identity mapping, underwriting, cash flow, lease renewals, and other key financial factors.
The successful candidate will work closely with the Data Analytics and Data Engineering teams to ensure the models are trained on high-quality data and integrated into production systems. A high degree of collaboration with key managers, product owners, and other peers and cross-functional partners is required.
Key Responsibilities
* Develop and deploy machine learning models using datasets generated from our AWS and Snowflake environments.
* Translate model insights into actionable strategies that drive business decisions and financial inclusion.
* Coach and mentor fellow data analysts and engineers.
* Ensure efficient delivery through effective planning, engaging with others, prioritizing, and developing, testing, and releasing work.
Requirements
* Masters degree in mathematics, statistics, economics, computer science, or other quantitative disciplines with a focus on data analysis.
* Strong experience in AI and ML in the financial technology or service industry, including working with credit and financial datasets.
* Proven track record in building and deploying machine learning models, with a strong understanding of the theory and tradeoffs behind these techniques.
* Proficiency in statistical and machine learning techniques for predictive modeling, classification, and regression.
* Very strong knowledge of Python and SQL.
* Experience with cloud services, such as AWS SageMaker for model development, training, and deployment, and AWS Bedrock for building and fine-tuning foundation models.
Benefits
* Competitive salary
* Remote first work environment